Stackness

AWS vs Google Cloud

AWS

5 members list AWS, up 5 in the last 12 weeks, data as of 18 September 2026

Google Cloud

3 members list Google Cloud, up 3 in the last 12 weeks, data as of 18 September 2026

How has interest in each changed?

Collected from public datasets outside Stackness, not from stacks on this site. A series both tools have shares one chart and one scale, because its unit is the same for both. Data sources

Mentions, monthly

AWS: Hacker News mentions: 11 mentions (2007) to 1,067 mentions (2026)

Google Cloud: Hacker News mentions: 1 mention (2007) to 76 mentions (2026)

AWSGoogle Cloud
20072012201620212026

Imported from Hacker News mentions

Installs, monthly

AWS: Homebrew analytics installs: 207,336 installs (2026)

Google Cloud: Homebrew analytics installs: 51,734 installs (2026)

AWSGoogle Cloud

Imported from Homebrew analytics

Installs, yearly

AWS: Homebrew analytics installs: 2,393,753 installs (2026)

Google Cloud: Homebrew analytics installs: 542,037 installs (2026)

AWSGoogle Cloud

Imported from Homebrew analytics

Usage share, yearly

AWS: Stack Overflow developer survey usage share: 28.11 % of respondents (2017) to 43.77 % of respondents (2025)

Google Cloud: Stack Overflow developer survey usage share: 12.3 % of respondents (2019) to 24.8 % of respondents (2025)

AWSGoogle Cloud
20172019202120232025

Imported from Stack Overflow developer survey

Series only one of them has

  • Google Cloud: Wikipedia pageviews: 5,019 views (2015) to 11,922 views (2026). Imported from Wikipedia pageviews.

Who uses both?

1 member lists both AWS and Google Cloud.

No member has recorded moving from one to the other yet.

What do people pair them with?

Tools that members list in the same stack as each of them.

Paired with both

Only with AWS

Only with Google Cloud

How do they differ?

AWS is the largest cloud provider, with the broadest catalog of services and the biggest pool of engineers who already know it. Google Cloud is smaller, with particular strengths in data and analytics through BigQuery, in managed Kubernetes, which Google created, and in AI infrastructure. Teams that want the widest choice of services and the easiest hiring tend to pick AWS. Data-heavy teams and those building on Google's AI tools tend to pick Google Cloud. In practice the choice is often made by where a company's existing credits, contracts or engineers already are.

Written by Sergei Gordeichuk,